145 lines
4.7 KiB
TypeScript
145 lines
4.7 KiB
TypeScript
import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { OpenAI, OpenAIInput } from 'langchain/llms/openai'
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class OpenAI_LLMs implements INode {
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label: string
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name: string
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type: string
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icon: string
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category: string
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description: string
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baseClasses: string[]
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inputs: INodeParams[]
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constructor() {
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this.label = 'OpenAI'
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this.name = 'openAI'
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this.type = 'OpenAI'
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this.icon = 'openai.png'
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this.category = 'LLMs'
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this.description = 'Wrapper around OpenAI large language models'
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this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
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this.inputs = [
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{
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label: 'OpenAI Api Key',
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name: 'openAIApiKey',
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type: 'password'
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},
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: [
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{
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label: 'text-davinci-003',
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name: 'text-davinci-003'
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},
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{
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label: 'text-davinci-002',
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name: 'text-davinci-002'
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},
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{
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label: 'text-curie-001',
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name: 'text-curie-001'
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},
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{
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label: 'text-babbage-001',
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name: 'text-babbage-001'
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}
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],
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default: 'text-davinci-003',
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optional: true
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},
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{
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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default: 0.7,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Best Of',
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name: 'bestOf',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Frequency Penalty',
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name: 'frequencyPenalty',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Presence Penalty',
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name: 'presencePenalty',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Batch Size',
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name: 'batchSize',
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type: 'number',
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optional: true,
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additionalParams: true
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},
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{
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label: 'Timeout',
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name: 'timeout',
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type: 'number',
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optional: true,
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additionalParams: true
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}
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]
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}
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async init(nodeData: INodeData): Promise<any> {
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const temperature = nodeData.inputs?.temperature as string
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const modelName = nodeData.inputs?.modelName as string
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const openAIApiKey = nodeData.inputs?.openAIApiKey as string
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const maxTokens = nodeData.inputs?.maxTokens as string
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const topP = nodeData.inputs?.topP as string
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const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
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const presencePenalty = nodeData.inputs?.presencePenalty as string
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const timeout = nodeData.inputs?.timeout as string
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const batchSize = nodeData.inputs?.batchSize as string
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const bestOf = nodeData.inputs?.bestOf as string
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const obj: Partial<OpenAIInput> & { openAIApiKey?: string } = {
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temperature: parseInt(temperature, 10),
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modelName,
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openAIApiKey
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}
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseInt(topP, 10)
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if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10)
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if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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if (batchSize) obj.batchSize = parseInt(batchSize, 10)
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if (bestOf) obj.bestOf = parseInt(bestOf, 10)
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const model = new OpenAI(obj)
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return model
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}
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}
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module.exports = { nodeClass: OpenAI_LLMs }
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